Automatic tree species identification from natural bark image

In this research, we are studying on image-based identification of trees species that we can see everywhere. In our previous study, we showed that convolutional neural network (CNN) can recognize tree species by using a region of interest (ROI) image of bark. However, the bark region is manually extracted from a natural bark image. This paper solves this problem using semantic segmentation, and proposes an automatic tree species identification from natural bark image. The proposed method was evaluated with the bark image dataset collected independently. We confirmed the effectiveness of the proposed method.

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